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Se Busca una Raíz Unitaria: Evidencia para Chile

  • Rómulo Chumacero

This paper presents compelling evidence against the null hypothesis of a unit root in series such IMACEC, consumption or GDP for the Chilean economy. This evidence builds on results derived by Chumacero (2000) that show that when the scale variable is difference stationary, the returns on assets should present a behavior that is not supported by the data. Thus, care should be taken when using econometric models that impose unit roots based on traditional tests.

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Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 86.

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Date of creation: Dec 2000
Date of revision:
Handle: RePEc:chb:bcchwp:86
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  1. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  2. Rómulo Chumacero & Jorge Quiroz, 1996. "La Tasa Natural de Crecimiento de la Economía Chilena: 1985-1996," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 33(100), pages 453-472.
  3. Lawrence J. Christiano & Martin Eichenbaum, 1990. "Unit roots in real GNP: do we know, and do we care?," Working Paper Series, Macroeconomic Issues 90-2, Federal Reserve Bank of Chicago.
  4. Bierens, Herman J., 1997. "Testing the unit root with drift hypothesis against nonlinear trend stationarity, with an application to the US price level and interest rate," Journal of Econometrics, Elsevier, vol. 81(1), pages 29-64, November.
  5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
  6. Romulo Chumacero, 2001. "Testing For Unit Roots Using Economics," Computing in Economics and Finance 2001 2, Society for Computational Economics.
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